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A new nearest-neighbor rule in the pattern classification problem

โœ Scribed by Kazuo Hattori; Masahito Takahashi

Publisher
Elsevier Science
Year
1999
Tongue
English
Weight
102 KB
Volume
32
Category
Article
ISSN
0031-3203

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โœฆ Synopsis

A new nearest-neighbor (NN) rule is proposed. In this rule, the k-nearest neighbors of an input sample are obtained in each class. Two classification examples are presented to test the NN rule proposed. The number of samples misclassified N is evaluated. The minimum of N in the the NN rule proposed is found to be nearly equal to or less than those in the k-NN, distance-weighted k-NN and fuzzy k-NN rules. The NN rule proposed is shown to be very flexible. It will yield good classification results, if the parameters introduced in it are optimized.

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